关于行业治安管理中身份验证登记制度的探讨--以福建省为例

行政许可制度的改革,使行业治安管理工作出现一些新情况、新问题。如何执行好身份验证登记制度,是治安管理部门面临的一项课题。公民维权意识的增强,企业在市场经济中追求利益最大化,行业治安管理所依据的法律制度不健全,行政部门条块化管理的沟壑,以及当前警力紧张的压力等,使得治安管理部门在执行特种行业以及某些存在治安风险的行业身份验证登记制度中力不从心。当前应通过健全相关法律、创新管理方式,以推进制度的执行,扎实做好治安基础工作。     

财政分权、地方财政赤字与土地财政

基于地方财政赤字的视角,研究财政分权与地方政府土地财政策略的内在作用逻辑,通过理论分析发现:地方财政赤字激励了地方政府在利益觉醒后利用预算制度缺口,用"扭曲之手"来攫取预算外财政收益,进而驱动地方政府实施积极的土地财政策略来实现财政增收的政策目标。省际面板数据的实证结果进一步验证了财政分权、地方财政赤字对土地财政的正向驱动作用。土地财政的治理从深化分税制改革、改善地方财政收入结构、变革土地财政形成机制、完善行政绩效考核体制、加强预算监管等方面入手。     

New Challenges Posed by Robots to China’s Civil Code in the Age of Artificial Intelligence

In the age of artificial intelligence (AI), robots have profoundly impacted our life and work, and have challenged our civil legal system. In the course of AI development, robots need to be designed to protect our personal privacy, data privacy, intellectual property rights, and tort liability identification and determination. In addition, China needs an updated Civil Code in line with the growth of AI. All measures should aim to address AI challenges and also to provide the needed institutional space for the development of AI and other emerging technologies.     

The Europeanization of national elections. The role of country characteristics in shaping EU issue voting

Research has shown that voting in European elections is affected by domestic politics. However, in the last years, and particularly after the European debt crisis, also the EU has gained relevance and salience in national politics. In this paper we address the Europeanization of national elections and assess to what extent the characteristics of countries condition the intensity of EU issue voting. Using data from the European Election Studies and the Comparative Manifestos Project, our results demonstrate the importance of congruence between citizens' and parties’ positions on the EU for the individual vote on the national level and show how this varies across countries. We provide evidence that EU issue voting is more intense in countries with more political influence in the EU as well as in countries that are net contributors to EU funds.     

Long‐Run Labor Market Effects of the Job Corps Program: Evidence from a Nationally Representative Experiment

Job Corps is the nation's largest and most comprehensive career technical training and education program for at‐risk youth ages 16 to 24. Using the sample from a large‐scale experiment of the program from the mid‐1990s, this article uses tax data through 2015 (20 years later) to examine long‐term labor market impacts. The study finds some long‐term beneficial effects for the older students, with employment gains of 4 percentage points, 40 percent reductions in disability benefit receipt, and 10 percent increases in tax filing rates in 2015. For these students, program benefits exceeded program costs from the social perspective. This study is the first to establish that a national program for disconnected youth can produce long‐term labor market gains, and can be a positive investment made for society. The results suggest that intensive, comprehensive services that focus on developing both cognitive and noncognitive skills are important for improving labor market prospects for this population.     

Quantitative structure–activity relationship (QSAR) methodology in forensic toxicology: Modeling postmortem redistribution of structurally diverse drugs using multivariate statistics

Postmortem redistribution (PMR) constitutes a multifaceted process, which renders the analytical results of drug concentrations inaccurate to be interpreted by forensic toxicologists. The aim of the present study was to evaluate whether quantitative structure–activity relationship (QSAR) methodology could serve as an effective tool to estimate the ability of drugs to redistribute across tissue barriers during postmortem period on the basis of their molecular, physicochemical and structural properties. In this aspect, multivariate data analysis (MVDA) was applied to a set of 77 structurally diverse drugs. PMR data expressed by the central:peripheral concentration ratio (C:P ratio) was taken from the literature. An adequate and robust QSAR model (R² = 0.65, Q² = 0.56, RMSEE = 0.34) was established for 59 (77%) out of 77 drugs. Although the derived QSAR model presented limited applicability, it provided an informative illustration of the contributing molecular, physicochemical and structural properties in PMR process. Drugs with strong basic properties and enhanced molecular size, flexibility, lipophilicity and number of halogens were found to be susceptible to increased PMR. Due to the high complexity of PMR process, further QSAR studies need to focus on structurally related drugs to develop more specific models, which could serve as alternative tools to evaluate PMR for different chemical classes.     

Using State Child Labor Laws to Identify the Causal Effect of Youth Employment on Deviant Behavior and Academic Achievement

On the basis of prior research findings that employed youth, and especially intensively employed youth, have higher rates of delinquent behavior and lower academic achievement, scholars have called for limits on the maximum number of hours per week that teenagers are allowed to work. We use the National Longitudinal Survey of Youth 1997 to assess the claim that employment and work hours are causally related to adolescent problem behavior. We utilize a change model with age-graded child labor laws governing the number of hours per week allowed during the school year as instrumental variables. We find that these work laws lead to additional number of hours worked by youth, which then lead to increased high school dropout but decreased delinquency. Although counterintuitive, this result is consistent with existing evidence about the effect of employment on crime for adults and the impact of dropout on youth crime.

Assessing the (eco)macroeconomic performance index of India: A data envelopment analysis approach

The prime objective of this article is to construct a robust macroeconomic performance (MEP) index of the Indian economy using the data envelopment analysis (DEA) approach. Seven major macro indicators, namely, economic growth, employment rate, terms of trade, inflation rate, fiscal deficit, pollution, and climate change are used to compute MEP and Eco‐MEP indices of the Indian economy from 1980–1981 to 2018–2019. Overall, both the MEP and Eco‐MEP index scores have quite similar best performing years worst performing years, and have also captured the major events that affected adversely the Indian economy during the past decades. The trend in the overall performance of the Indian economy was better in the 1980s and the 1990s but has deteriorated since 2000. The autoregressive distributed lag bounds testing approaches to cointegration methods are used to test the robustness/utility of these indices. The estimated results show that MEP and Eco‐MEP have a positive impact on private investment, foreign investment inflows, foreign direct investment, and a negative effect on the current account deficit. Hence, the suggested composite MEP index is stable, robust and truly captures the economic performance of India. The constructed MEP composite index may be used by foreign investors, rating agencies, private investors, and policymakers for their planning and decision‐making processes.     

计量经济研究实践中的数据运用误差

计量经济学方法已被广泛地应用于经济研究的各个领域,理论、方法、数据是计量经济研究的三大基本要素。综观国内大量的计量经济研究成果,我们发现不尽严密和科学之处并不少见。本文从数据运用角度,列举了计量经济研究实践中的三类偏误现象,以呼吁人们关注计量经济学研究的客观性